Program

Important Dates

Important Dates

Date and Time [Indochina Time (UTC +7)]Title
August 31, 2020 23:59 PM ExtendedSubmission deadline
October 14, 2020 23:59 PM ExtendedNotification of Acceptance
October 24, 2020 12:00 AMEarly Registration
October 24, 2020 12:00 AMCamera-ready Submission
November 5, 2020 11:59 PMVideo Presentation Submission
November 18 – 20, 2020Conference Period

Call for papers

Schedule

Schedule

Date

Wednesday, November 18, 2020

10:30-12:00

Registration to the Google Meet
(11:30-13:30)

12:00-13:30

Lunch Time

13:15-13:30

Opening Ceremony (13:15-13:30)
General Chair representatives
(IMC-AETM 2020) Pruetha Nanakorn, SIIT, Thammasat U., Thailand
(iSAI-NLP & AIoT 2020) Tsuyoshi Isshiki, Tokyo Institute of Technology, Japan
Program Chair Representatives
(iSAI-NLP & AIoT 2020) Thepchai Supnithi, NECTEC, Thailand
(IMC-AETM 2020) Erwin Oh, Griffith University, Australia

https://meet.google.com/ucy-uqav-nsj

13:30-14:30

Keynote Speech I (13:30-14:30)

Intelligent Clinical Training during the COVID-19 Pandemic
Siriwan Suebnukarn,
Thammasat University

https://meet.google.com/ucy-uqav-nsj

14:30-14:50

Break

14:50-17:00

iSAI-WS
(5 papers)
Chair: Thepchai Supnithi

IMC-01 (CE, 1R4S)
Chair: Warangkana Saengsoy

IMC-02 (ICT, 2R4S)
Chair: Nguyen Duy Hung

IMC-03 (CHE, 3R2S)
Chair: Wanwipa Siriwatwechakul

14:50-17:00

Welcome Address by Dr. Thepchai Supnithi (NECTEC, Thailand)
[15:30-15:35]

IMC-AETM2020-0004
Cloud-based Virtual Reality Application for Real Estate Industry

Daluch Sinoeurn and Kriengsak Panuwatwanich
[Paper] [Slide] [Video]

IMC-AETM2020-0011
Smart-Plug Implementation and Feature Comparisons for Electrical Appliance Recognition

Puwaphat Jitket, Seksan Laitrakun, and Sasiporn Usanavasin
[Paper] [Slide] [Video]

IMC-AETM2020-0005
Micro-plastic contamination in drinking water treatment plants: case study of Phnom Penh

Dork Hakk and Sandhya Babel
[Paper] [Slide] [Video]

14:50-17:00

Keynote Speech entitled “Khmer NLP at NIPTICT” by Dr. Sam Sethserey, Vice President
National Institute of Posts, Telecoms and ICT (NIPTICT), Cambodia
[15:35-16:15]

IMC-AETM2020-0008
Free Shrinkage and Restrained Shrinkage Behaviors of Multi-binder Systems Containing Cement, Limestone Powder, Fly Ash and Calcined Clay

Phung Manh Cuong, Krittiya Kaewmanee, and Somnuk Tangtermsirikul
[Paper] [Slide] [Video]

IMC-AETM2020-0033
Optimal Discount Factor in Multi-Agent Deep Reinforcement Learning for Traffic Signal Control By the Simulation of Urban Mobility (SUMO)

Paschol Supradith Na Ayudhya and Mongkut Piantanakulchai
[Paper] [Slide] [Video]

IMC-AETM2020-0007
IMPROVE WORKABILITY OF CSA CEMENT ADDITIVE BY POLYMER ENCAPSULATION

Malinee Nontikansak, Phattarakamon Chaiyapoom, Wanwipa Siriwatwechakul, Passarin Jongvisuttisan, and Chalermwut Snguanyat
[Paper] [Slide] [Video]

14:50-17:00

W1-01, An Approach of Network Analysis Enhancing Knowledge Extraction in Thai Newspapers Contexts

Akkharawoot Takhom (NECTEC, Thailand), Dhanon Leenoi (NECTEC, Thailand), Chotanunsub Sophaken (PCSHS, Thailand), Prachya Boonkwan (NECTEC, Thailand) and Thepchai Supnithi (NECTEC, Thailand)
[16:15-16:35]

IMC-AETM2020-0014
Use of Bottom Ash as a Subbase Material for Pavement

Thet Htet Ye Htun, Parnthep Julnipitawong, Weeraya Chimoye, and Somnuk Tangtermsirikul
[Paper] [Slide] [Video]

IMC-AETM2020-0035
DCU allocation for AMI using wireless communication in pattaya district

Chaiwat Leevarinpanich, Teerayut Horanont, and Chalie Charoenlarpnopparut
[Paper] [Slide] [Video]

IMC-AETM2020-0010
On improving Performance of Artificial Neural Network in Predicting Dissolved Oxygen (DO) by Utilizing Feature Selection Algorithms to Generalize Water Quality Variables

Thananya Rinsiri and Akkaranan Pongsathornwiwat
[Paper] [Slide] [Video]

14:50-17:00

W1-02, Improve Accuracy of Word Suggestion by Location of Word Search: A case study of Regional Thai Dialects

Nattapol Kritsuthikul (NECTEC, Thailand), Witchaworn Mankhong (NECTEC, Thailand), Wasan Na-Chai (NECTEC, Thailand), and Thepchai Supnithi (NECTEC, Thailand)
[16:35-16:55]

IMC-AETM2020-0015
Utilization of Substandard Fly Ash as a Partial Replacement for Fine Aggregate in Concrete

Piseth Pok and Parnthep Julnipitawong
[Paper] [Slide] [Video]

IMC-AETM2020-0038
Deep Learning Approach on Photovoltaic Electricity Generation Capacity Prediction

Noravee Sungpuag, Sasiporn Usanavasin, and Waree Kongprawechnon
[Paper] [Slide] [Video]

IMC-AETM2020-0025
A Specific Heat Prediction Model for Ternary Binder Pastes

Kanin Pinitoppapun, Krittiya Kaewmanee, and Somnuk Tangtermsirikul
[Paper] [Slide] [Video]

14:50-17:00

W1-03, Myanmar Text (Burmese) and Braille (Mu Thit) Machine Translation applying IBM Model 1 and 2

Zun Hlaing Moe (UTYCC, Myanmar), Thida San (UTYCC, Myanmar), Ei Thandar Phyu (UTYCC, Myanmar), Hlaing Myat Nwe (UTYCC, Myanmar), Hnin Aye Thant (UTYCC, Myanmar), Thepchai Supnithi (NECTEC, Thailand) and Ye Kyaw Thu (NECTEC, Thailand)

Zun Hlaing Moe, Thida San and Ei Thandar Phyu contributed equally to this work as first authors.
[16:55-17:15]

IMC-AETM2020-0018
Bond Strength of Concrete Repair Materials with Considering Failure Plane Area by Image Analysis

Pakawat Sancharoen and Thitiporn Lertrusdachakul
[Paper] [Slide] [Video]

IMC-AETM2020-0041
Marker and IMU-based registration for mobile augmented reality

Pansavuth Khehasukcharoen and Teerayut Horanont
[Paper]

IMC-AETM2020-0040
In Situ spectroscopic ellipsometry for the study of ultrathin film poly(N-isopropylacrylamide-co-acrylamide) in aqueous environment

Phongphot Sakulaue, Tossaporn Lertvanithphol, and Wanwipa Siriwatwechakul
[Paper] [Slide] [Video]

14:50-17:00

W1-04, Grapheme-to-IPA Phoneme Conversion for Burmese (myG2P Version 2.0)

Honey Htun (YTU, Myanmar), Ni Htwe Aung (YTU, Myanmar), Shwe Sin Moe (YTU, Myanmar), Wint Theingi (YTU, Myanmar), Nyein Nyein Oo (YTU, Myanmar), Thepchai Supnithi (NECTEC, Thailand) and Ye Kyaw Thu (NECTEC, Thailand)

Honey Htun, Ni Htwe Aung, Shwe Sin Moe and Wint Theingi Zaw contributed equally to this work as first authors.
[17:15-17:35]

IMC-AETM2020-0047
A Smoothing Photovoltaic Power Injection Using Double Moving Average with Efficient Battery Energy Storage System

Possawee Boonkerd, Waree Kongprawechnon, and Muhammad Jamil
[Paper] [Slide] [Video]

W1-05, Grapheme to Syllable Sequence Phoneme Conversion for Myanmar Language Spelling TTS

Hnin Yu Hlaing (UTYCC, Myanmar), Ye Kyaw Thu (NECTEC, Thailand), Hlaing Myat Nwe (UTYCC, Myanmar), Thepchai Supnithi (NECTEC, Thailand), Hnin Aye Thant (UTYCC, Myanmar)
[17:35-17:55]

W1-06, Improve Neural Machine Translation (NMT) with Conjoined Twin Model

Nattapol Kritsuthikul (NECTEC, Thailand), Peerachet Porkaew (NECTEC, Thailand), and Thepchai Supnithi (NECTEC, Thailand)
[17:55-18:15]

Closing Remarks by Prof. Ye Kyaw Thu (NECTEC, Thailand)
[18:15-18:20]

Thursday, November 19, 2020

8:00-9:00

Registration
(8:00-9:00)

9:00-10:00

Keynote Speech II (IMC)

A healthy construction sector: A panacea for growth

James Rotimi
Massey University,
New Zealand

https://meet.google.com/cgt-nfnm-ghs

10:00-10:30

Break

10:30-12:00

iSAI-01 (NLP,4R) (+1P)
Chair: Ponrudee Netisopakul

iSAI-02 (Signal, 6R) (+1P)
Chair: Narit Nhoohom

iSAI-03 (DA & ML, 4R1S) (+1P)
Chair: Konlakorn Wongpatikaseree

IMC-04 (CE, 2R4S)
Chair: Ganchai Tanapornraweekit

10:30-12:00

iSAI-NLP-AIoT2020-0143
Survey of Query correction for Thai business-oriented information retrieval

Anuruth Lertpiya, Tawunrat Chalothorn, Phongsathorn Kittiworapanya, and Nuttapong Saelek

[Paper] [Slide] [Video]

iSAI-NLP-AIoT2020-0113
Improving of Pre-Processing Image for Child Cleft Lip by Image Processing

Jutturong Charoenrit, Wararat Songpan, and Apisak Pattanachak
[Paper] [Slide] [Video]

iSAI-NLP-AIoT2020-0126 (Short)
Model proposed to cost reduction in printing

Noppon Mingmuang, Chaleedol Inyasri, and Wirote Jongchanachavawat
[Paper] [Slide] [Video]

IMC-AETM2020-0016
Fire resistance rating of unprotected hot-rolled steel H-beams―Comparision and verification of different calculation approach

Laxman khanal and Taweep chaisomphob
[Paper] [Slide] [Video]

10:30-12:00

iSAI-NLP-AIoT2020-0149
A Conversational Agent for Database Query: A Use Case for Thai People Map and Analytics Platform

Thikamporn Simud, Somchoke Ruengittinun, Navaporn Surasvadi, Nuttapong Sanglerdsinlapachai, and Anon Plangprasopchok
[Paper] [Slide] [Video]

iSAI-NLP-AIoT2020-0121
Comparison of Face Classification with Single and Multi-model base on CNN

Sarin Watcharabutsarakham, Supphachoke Suntiwichaya, Chanchai Junlouchai, and Apichon Kitvimorat
[Paper] [Slide] [Video]

iSAI-NLP-AIoT2020-0127
COVID-19: Data Analysis and The situation Prediction Using Machine Learning Based on Bangladesh perspective

Abir Abdullha and Sheikh Abujar
[Paper] [Slide] [Video]

IMC-AETM2020-0024
Influence of Fly ash on viscosity and compressive strength of High Strength Concrete

Pham Hoai An, Parnthep Julnipitawong, and Somnuk Tangtermsirikul
[Paper] [Slide] [Video]

10:30-12:00

iSAI-NLP-AIoT2020-0151
Can Tweets predict ICO success? Sentiment Analysis for Success of ICO Whitepaper: evidence from Australia and Singapore Markets

Anchaya Chursook, Nathee Naktnasukanjn, Somsak Chaimaim, Piyachat Udomwong, Jutharut Chatsirikul, and Nopasit Chakpitak
[Paper] [Slide] [Video]

iSAI-NLP-AIoT2020-0129
Direction of Arrival Identification Using MUSIC Method and NLMS Beamforming

Raungrong Suleesathira
[Paper] [Slide] [Video]

iSAI-NLP-AIoT2020-0137
Enhancing and Evaluating an Impact of OCR and Ontology on Financial Document Checking Process

Worawut Yimyam, Sansanee Hiranchan, Mahasak Ketcham, Patiyuth Pramkeaw, Tanapon Jensuttiwetchakult, and Narumol Chumuang
[Paper] [Video]

IMC-AETM2020-0026
Performance of Cracked AFRC and SFRC Beams Exposed to Chloride Environment

Suphawit Untimanon, Ganchai Tanapornraweekit, and Somnuk Tangtermsirikul
[Paper] [Slide] [Video]

10:30-12:00

iSAI-NLP-AIoT2020-0152
Behavioral Interpretation of Transformer Models on Complex Grammatical Structures

Kanyanut Kriengket, Kanchana Saengthongpattana, Peerachet Porkaew, Vorapon Luantangsrisuk, Prachya Boonkwan, and Thepchai Supnithi
[Paper] [Slide] [Video]

iSAI-NLP-AIoT2020-0132
Face Detection System for Public Transport Service Based on Scale-Invariant Feature Transform

Narumol Chumuang, Sansanee Hiranchan, Mahasak Ketcham, Worawut Yimyam, Patiyuth Pramkeaw, and Tanapon Jensuttiwetchakult
[Paper] [Video]

iSAI-NLP-AIoT2020-0139 (Short)

IMC-AETM2020-0028
Topology Optimization of Planar Trusses with No Crossing and Overlapping Elements by A Firefly Algorithm

Sujan Tripathi and Pruettha Nanakorn
[Paper] [Slide] [Video]

10:30-12:00

iSAI-NLP-AIoT2020-0114 (Short)

iSAI-NLP-AIoT2020-0134
Image Classification of Forage Plants in Fabaceae FamilyUsing Scale Invariant Feature Transform Method

Worawut Yimyam, Thidarat Pinthong, Narumol Chumuang, Mahasak Ketcham, Patiyuth Pramkeaw, and Sansanee Hiranchan
[Paper] [Video]

iSAI-NLP-AIoT2020-0170
Feature Extraction with SHAP Value Analysis for Student Performance Evaluation in Remote Collaboration

Mako Komatsu, Chihiro Takada, Chihiro Neshi, Teruhiko Unoki, and Mikifumi Shikida
[Paper] [Video]

IMC-AETM2020-0031
Mechanism of Lattice Frame Reinforcement (LFR) System Used to Delay Settlement of Coastal Rock Embankments

Isuru Tharanga Dias, Ganchai Tanapornraweekit, and Somnuk Tangtermsirikul
[Paper] [Slide] [Video]

10:30-12:00

iSAI-NLP-AIoT2020-0136
A Development Heat Stroke Detection System Integrated with Infrared Camera

Worawut Yimyam, Nattavee Utakrit, Mahasak Ketcham, Montean Rattanasiriwongwut, Narumol Chumuang, and Sansanee Hiranchan
[Paper] [Video]

iSAI-NLP-AIoT2020-0120

IMC-AETM2020-0032
Effect of restraining and curing conditions on expansion and shrinkage of expansive concrete

Rasla Dumaru, Warangkana Saengsoy, and Somnuk Tangtermsirikul
[Paper] [Slide] [Video]

10:30-12:00

iSAI-NLP-AIoT2020-0140
Estimation of Oil Content in Oil Palm Fresh Fruit Bunch by Its Surface Color

Sutat Sae-Tang
[Paper] [Video]

10:30-12:00

iSAI-NLP-AIoT2020-0147

12:00-13:30

Lunch Time

13:30-14:30

Keynote Speech II (13:30-14:30)

Achieving Practical Byte-Granular Memory Safety
Hiroshi Sasaki
Tokyo Institute of Technology

https://meet.google.com/hku-vgdd-jtb

14:50-17:00

iSAI-04 (NLP, 5R1S)
Chair: Rachada Kongkachandra

iSAI-05 (Robot, 5R2S) (+2P)
Chair: Patiyuth Pramkeaw and Denchai Worasawate

iSAI-06 (Smart, 7R) (+2P)
Chair: Thaweesak Yingthawornsuk

IMC-05 (MT, 2R4S)
Chair: Warut Pannakkong, Jirachai Buddhakulsomsiri, Pisal Yenradee

14:50-17:00

iSAI-NLP-AIoT2020-0130 (Short)
A Structured Transformer Neural Machine Translation on Abstractive Text Summarization for Bangla seq2seq Learning

Abu Kaisar Mohammad Masum, Sharun Akter Khushbu, Mumenunnessa Keya, Sheikh Abujar, and Syed Akhter Hossain
[Paper] [Slide] [Video]

iSAI-NLP-AIoT2020-0141

iSAI-NLP-AIoT2020-0107
A Memetic Algorithm for Tour Trip Design Problem

Apisit Cheng and Aussadavut Dumrongsiri
[Paper] [Video]

IMC-AETM2020-0006
Design of Freemium with Usage Limitation

Tanet Kato and Aussadavut Dumrongsiri
[Paper] [Slide] [Video]

14:50-17:00

iSAI-NLP-AIoT2020-0157
Myanmar POS Resource Extension Effects on Automatic Tagging Methods

Zar Zar Hlaing, Ye Kyaw Thu, Myat Myo Nwe Wai, Thepchai Supnithi, and Ponrudee Netisopakul
[Paper] [Slide] [Video]

iSAI-NLP-AIoT2020-0142
A Surveillance system for children stuck inside the car with embedded system technology

Arthi Yooyen and Siriruang Phatchuay
[Paper] [Slide] [Video]

iSAI-NLP-AIoT2020-0144
Utilization-Weighted Algorithm for Spreading Factor Assignment in LoRaWAN

Kasama Kamonkusonman and Rardchawadee Silapunt
[Paper] [Video]

IMC-AETM2020-0009
Using conjoint analysis to elicit women preferences on personal health insurances: A case of working women in Bangkok, Thailand

Praewpaka Chumtong Drucker and Akkaranan Pongsathornwiwat
[Paper] [Slide] [Video]

14:50-17:00

iSAI-NLP-AIoT2020-0162
A Study of Three Statistical Machine Translation Methods for Myanmar (Burmese) and Shan (Tai Long) Language Pair

Nang Aeindray Kyaw, Ye Thu, Hlaing Myat Nwe, Phyu Phyu Tar, Nandar Win Min, and Thepchai Supnithi
[Paper] [Slide] [Video]

iSAI-NLP-AIoT2020-0150
Real-life Human Activity Recognition with Tri-axial Accelerometer Data from Smartphone using Hybrid Long Short-Term Memory Networks

Narit Hnoohom, Anuchit Jitpattanakul, and Sakorn Mekruksavanich
[Paper] [Slide] [Video]

iSAI-NLP-AIoT2020-0145
Development a home electrical equipment control device via voice commands for elderly assistance

Narumol Chumuang, Worawut Yimyam, Patiyuth Pramkeaw, Mahasak Ketcham, Sansanee Hiranchan, Sakchai Tangwannawit, and Montean Rattanasiriwongwut
[Paper] [Video]

IMC-AETM2020-0017
Delivery Location Positioning and Delivery Planning Systems for Thai SMEs using Google Maps

Sophea Horng and Pisal Yenradee
[Paper] [Slide] [Video]

14:50-17:00

iSAI-NLP-AIoT2020-0163
Daily Health Monitoring Chatbot with Linear Regression

Konlakorn Wongpatikaseree, Arunee Ratikan, Chaianun Damrongrat, and Katiyaporn Noibanngong
[Paper] [Slide] [Video]

iSAI-NLP-AIoT2020-0155
Simulation of Autonomous Mobile Robot System for Food Delivery in In-patient Ward with Unity

Supachai Vongbunyong, Salil Parth Tripathi, Kitti Thamrongaphichartkul, Nitisak Worrasittichai, Aphisit Takutruea, and Teeraya Prayongrak
[Paper] [Slide] [Video]

iSAI-NLP-AIoT2020-0148
Medicine Identification System on Mobile Device for Elderly

Pitchaya Chotivatunyu and Narit Hnoohom
[Paper] [Slide] [Video]

IMC-AETM2020-0019
Impacts of shift in share of consumption from palm-oil based B10-biodiesel to B20-biodiesel in Thailand

Satish Acharya and Mongkut Piantanakulchai
[Paper] [Slide] [Video]

14:50-17:00

iSAI-NLP-AIoT2020-0165
A Machine Learning Approach for the Classification of Methamphetamine Dealers on Twitter in Thailand

Punnavich Khowrurk and Rachada Kongkachandra
[Paper] [Slide] [Video]

iSAI-NLP-AIoT2020-0161 (Short)
A Pressure Sensor- and Depth Camera-Based Monitoring and Alarming System for Bed Fall Detection

Prakrankiat Youngkong and Worawit Panpanyatep
[Paper] [Video]

iSAI-NLP-AIoT2020-0153
Cryptocurrencies Asset Pricing Analysis: evidence from Thailand markets

Kanyawut Ariya, Nathee Naktnasukanjn, Tanarat Rattanadamrongaksorn, Piyachat Udomwong, Saronsad Sokantika, and Nopasit Chakpitak
[Paper] [Video]

IMC-AETM2020-0020
Identical Parallel Machine Scheduling Problem With Sequence-Dependent Setup Time Under Machines Eligibility Restriction To Minimize Total Earliness And Tardiness: A Case Study In A Company

Seyha Thay and Morrakot Raweewan
[Paper] [Slide] [Video]

14:50-17:00

iSAI-NLP-AIoT2020-0171
Statistical Machine Translation for Myanmar Language Paraphrase Generation

Myint Myint Htay, Ye Kyaw Thu, Hnin Aye Thant, and Thepchai Supnithi
[Paper] [Slide] [Video]

iSAI-NLP-AIoT2020-0168 (Short)
Development of a Web Service to Support the Community Oriented Approaches for Comprehensive Healthcare in Emergency Situations

Chihiro Takada, Yurika Takeuchi, Mari Kinoshita, and Mikifumi Shikida
[Paper] [Video]

iSAI-NLP-AIoT2020-0159
An Efficiency Random Forest Algorithm for Classification of Patients with Kidney Dysfunction

Narumol Chumuang, Nuttawoot Meesang, Mahasak Ketcham, Worawut Yimyam, Jiragorn Chalermdit, Nawarat Wittayakhom, and Patiyuth Pramkeaw
[Paper] [Video]

IMC-AETM2020-0022
Estimation of Remaining Service Life of Expressway in Bangkok based on Inspection Results

Hanghoy Tek, Pakawat Sancharoen, Natthapon Suksomklin, Natthawat Suksomklin, and Somnuk Tangtermsirikul
[Paper] [Slide] [Video]

14:50-17:00

iSAI-NLP-AIoT2020-0174
A proposal of evaluation method using a pressure sensor for supporting auscultation training

Yuki Kodera, Kunimasa Yagi, and Mikifumi Shikida
[Paper] [Video]

iSAI-NLP-AIoT2020-0173
A Framework of IoT Platform for Autonomous Mobile Robot in Hospital Logistics Applications

Kitti Thamrongaphichartkul, Nitisak Worrasittichai, Teeraya Prayongrak, Supachai Vongbunyong
[Paper] [Slide]

14:50-17:00

iSAI-NLP-AIoT2020-0101 (Short)

iSAI-NLP-AIoT2020-0106 (Short)

14:50-17:00

iSAI-NLP-AIoT2020-0166 (Short)
Design and Construct Logistic Robot Using Camera to Detect Line Combine with Lidar Sensor (Mecanum Wheel)

[Paper] [Video]

iSAI-NLP-AIoT2020-0119 (Short)

Friday, November 20, 2020

8:00-9:00

Registration
(8:00-9:00)

09:00-10:30

iSAI-07 (DA & ML,2R) (+3P)
Chair: Sanparith Marukatat

iSAI-08 (Signal, 4R1S) (2R1S) (+1P)
Chair:Nongnuch Ketui (RMUTL) or
Narumol Chumuang, MCRU

IMC-06 (CHE 1R3S)
Chair: Pakorn Opaprakasit

IMC-07 (MT, 1R4S)
Chair: Akaranan Pongsathornwiwat

09:00-10:30

iSAI-NLP-AIoT2020-0158
Mushroom Classification by Physical Characteristics by Technique of k-Nearest Neighbor

Narumol Chumuang, Kittisak Sukkanchana, Mahasak Ketcham, Worawut Yimyam, Jiragorn Chalermdit, Nawarat Wittayakhom, Patiyuth Pramkeaw
[Paper] [Video]

iSAI-NLP-AIoT2020-0138 (Short)
COVID 19 X-Ray Image Classification using Voting Ensemble CNNs Transfer Learning

Phuwadol Viroonluecha, Thanwarat Borisut, and Jose Santa
[Paper] [Slide] [Video]

IMC-AETM2020-0027
Input Data Inventory Analysis for Environmental Life Cycle Assessment of Organic Fraction of Solid Waste by Composting and Anaerobic Digestion: A Case Study in Sri Lanka

W.T.Rasangika Thathsaranee and Sandhya Babel
[Paper] [Slide] [Video]

IMC-AETM2020-0023
A Comparison of Organizational Culture and Performance of Chinese Entrepreneurs with Different Genders and Amount of Work Experience
of foreigne language

Qiuxue Luo, Mayuree Suacamram, Luckxawan Pimsawadi
[Paper] [Slide] [Video]

09:00-10:30

iSAI-NLP-AIoT2020-0160
Optimization of Prediction Method of Chronic Kidney Disease Using Machine Learning Algorithm Kidney Disease Using Machine Learning Algorithm

Pronab Ghosh, Saima Afrin, F. M. Javed Mehedi Shamrat, Atqiya Abida Anjum, Shahana Shultana, and Aliza Ahmed Khan
[Slide] [Video]

iSAI-NLP-AIoT2020-0146
Intelligent medicine identification system using a combination of image recognition and optical character recognition

Nagorn Maitrichit and Narit Hnoohom
[Paper] [Slide] [Video]

IMC-AETM2020-0042
Vancomycin production from biodiesel-derived crude glycerol and soybean flour

Le Phuong Vy and Wanwipa Siriwatwechakul
[Paper] [Slide] [Video]

IMC-AETM2020-0034
Customer Review and Brand Experience: The case of Smart Product Brand

S M Arifuzzaman and Pisit Chanvarasuth
[Paper] [Slide] [Video]

09:00-10:30

iSAI-NLP-AIoT2020-0102 (Short)

iSAI-NLP-AIoT2020-0164
Face Recognition System for Financial Identity Theft Protection

Thidarat Pinthong, Worawut Yimyam, Narumol Chumuang, and Mahasak Ketcham
[Paper] [Video]

IMC-AETM2020-0043
Chitosan Thin Film for Food Packaging with Enhanced Antimicrobial Properties

Nunik Nugrahanti and Wanwipa Siriwatwechakul
[Paper] [Slide] [Video]

IMC-AETM2020-0036
Elephant Scheduling for Tourism Industry Using a Mathematical Model: A Case Study Michaels University School

Rawisara Chongphaisal and Aussadavut Dumrongsiri
[Paper] [Slide] [Video]

09:00-10:30

iSAI-NLP-AIoT2020-0124

iSAI-NLP-AIoT2020-0156

IMC-AETM2020-0045
Performance Comparison of CRMC and Conventional Ejector on R141b Ejector

Boriak Kitrattana and Satha Aphornratana
[Paper] [Slide] [Video]

IMC-AETM2020-0037
Genetic Algorithm with Reinforcement Learning for Production Scheduling and lot size

Vannak Seng, Chawalit Jeenanunta, and Masahiro Nakamura
[Paper] [Slide] [Video]

09:00-10:30

iSAI-NLP-AIoT2020-0131
Developed Credit Card Fraud Detection Alert Systems via Notification of LINE Application

Narumol Chumuang, Sansanee Hiranchan, Mahasak Ketcham, Worawut Yimyam, Patiyuth Pramkeaw, and Sakchai Tangwannawit
[Paper] [Video]

IMC-AETM2020-0039
Mathematical model of COVID-19 transmission dynamics in Thailand

Chirarak Wongthitaporn and Rujira Chaysiri
[Paper] [Slide] [Video]

Keynote Speakers

Keynote Speakers

Siriwan Suebnukarn

Vice Rector for Research and Innovation, Thammasat University, Thailand

Siriwan Suebnukarn

Intelligent Clinical Training during the COVID-19 Pandemic

Abstract

Clinical training is one of the most challenging areas for education especially during the COVID-19 pandemic. There are limited access to apprenticeship training in the complex scenarios with corresponding difficulty training in a time-effective manner. Professor Suebnukarn’s work on intelligent clinical training systems provides one effective solution to this problem by introducing intelligent clinical training systems that can supplement tutoring sessions by expert clinical instructors. The Bayesian representation techniques and algorithms for generating tutoring feedback in medical problem-based learning group problem solving made important contributions to the field of Intelligent Tutoring Systems.  In particular, it was one of the first systems for tutoring groups of students and the first intelligent tutoring systems for medical problem-based learning.  The virtual reality simulator she developed is one of the most sophisticated dental simulators.  It stands out as the first dental simulator to integrate sophisticated analysis of the surgical procedure.  Particularly noteworthy is also the creative way to understand important issues such as differences in expert and novice performance, the effectiveness of virtual pre-operative practice, and the teaching effectiveness of the simulator. The systems have been implemented in undergrad pre-clinical training and postgrad pre-surgical training with strong scientific evidence of their effectiveness.

Biography

Professor Siriwan Suebnukarn serves as Vice Rector for Research and Innovation at Thammasat University, Thailand. Professor Suebnukarn’s combined background in Dentistry and Computer Science gives her a rather unique set of skills to tackle some important outstanding problems in Medical Informatics and Education. Her research work has included Artificial Intelligence in Education, Intelligent User Interfaces, and User Modeling. She developed an Intelligent Virtual Reality Clinical Training Simulator for which she won the prestigious International Federation of Inventor Association’s (IFIA) Lady Prize for the Best Women’s Invention and the National Outstanding Researcher Award in Education.

Chidchanok Lursinsap

Professor, Ph.D. Department of Mathematics and Computer Science Faculty of Science, Chulalongkorn University

Fast and Accurate Neural Learning with Limited Memory Size, Limited Energy Supply, and Class Drift Constraints in Streaming Data Environment

Pre-recorded video

Abstract

Tremendous data have been generated in almost every field of industrial and scientific applications and researches Due to the advancement of Internet and new sensor equipment. This situation creates a crisis of memory overflow, where the amount of continuously incoming data is larger than the physical size of memory. Most of the developed neural learning algorithms were designed without seriously considering this memory overflow crisis. It is assumed that all learning data including present data and new incoming data must be retained inside the memory throughout the learning process. This assumption is unrealistic and impractical in the streaming data environment. Furthermore, the number of learning epochs cannot be controlled, which implies that the energy consumption for achieving the learning process may exceed the available energy supply such as a battery. This talk will discuss a new concept of neural learning, the supporting architecture, and the relevant theoretical foundation to achieve the efficient leaning process with high accuracy under the constraints of memory overflow and controllable polynomial time complexity.

Biography

Chidchanok Lursinsap received the B.Eng. degree (honors) in computer engineering from Chulalongkorn University, Bangkok, Thailand, in 1978 and the M.S. and Ph.D. degrees in computer science from the University of Illinois at Urbana-Champaign, Urbana, in 1982 and 1986, respectively. He was a Lecturer at the Department of Computer Engineering, Chulalongkorn University, in 1979. In 1986, he was a Visiting Assistant Professor at the Department of Computer Science, University of Illinois at Urbana-Champaign. From 1987 to 1996, he worked at The Center for Advanced Computer Studies, University of Louisiana at Lafayette, as an Assistant and Associate Professor. After that, he came back to Thailand to establish Ph.D. program in computer science at Chulalongkorn University and became a Full Professor. His major research interests include neural learning and its applications to other science and engineering areas.

Hiroshi Sasaki

Associate Professor Department of Information and Communications Engineering, Tokyo Institute of Technology

Achieving Practical Byte-Granular Memory Safety

Abstract

Memory safety issues have been a serious threat which have provided a significant opportunity for exploitation by attackers. I would like to share my experience in building a hardware-based fine-grained memory safety solution, based on a simple idea that prohibits a program from accessing certain memory regions based on program semantics.

Biography

Hiroshi Sasaki is an Associate Professor of Information and Communications Engineering at the Tokyo Institute of Technology. His research interests include computer architecture, computer systems, and computer security.
P.S. Prof. Okumura was not available this time. We will try to invite him to the next conference.

Proceeding

Photo Gallery

Photo Gallery

iSAI-NLP 2019

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